Depth Recovery from Light Field Using Focal Stack Symmetry

被引:105
作者
Lin, Haiting [1 ]
Chen, Can [1 ]
Kang, Sing Bing [2 ]
Yu, Jingyi [1 ,3 ]
机构
[1] Univ Delaware, Newark, DE 19716 USA
[2] Microsoft Res, Greater Seattle, WA USA
[3] ShanghaiTech Univ, Shanghai, Peoples R China
来源
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) | 2015年
关键词
D O I
10.1109/ICCV.2015.394
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We describe a technique to recover depth from a light field (LF) using two proposed features of the LF focal stack. One feature is the property that non-occluding pixels exhibit symmetry along the focal depth dimension centered at the in-focus slice. The other is a data consistency measure based on analysis-by-synthesis, i.e., the difference between the synthesized focal stack given the hypothesized depth map and that from the LF. These terms are used in an iterative optimization framework to extract scene depth. Experimental results on real Lytro and Raytrix data demonstrate that our technique outperforms state-of-the-art solutions and is significantly more robust to noise and under-sampling.
引用
收藏
页码:3451 / 3459
页数:9
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